Holosentinel Pameten skupnostni sistem – avtor Hey July

Delo Holosentinel Pameten skupnostni sistem avtorja Hey July je izjemno cenjeni dobitnik prestižne nagrade 2025 Srebrna nagrada A' Design Award v tekmovalni kategoriji Oblikovanje informacijskih tehnologij.

SrebrnaInformacijske tehnologije· 2025

Holosentinel Pameten skupnostni sistem

avtor/ica: Hey July

Naročnik: Hey July

Dobitnik nagrade Srebrna nagrada A' Design Award v kategoriji Informacijske tehnologije

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Preverite status nagrade za #171198

Ogled na A' Design Award Sporočilo za javnost Značka nagrade

Barve

Dizajn

O dizajnu Holosentinel Pameten skupnostni sistem

Hibridni 3D sistem združuje jasnost aeronavtičnega razreda z intuitivnim upravljanjem. 3D plasti vizualizirajo stavbne strukture in dinamična tveganja, medtem ko 2D paneli uporabljajo termično kodiranje za spremljanje porabe energije in delovanja naprav. Vedenjski modeli UI samodejno označijo visokorizična območja, kar omogoča lokalizacijo incidentov v petih sekundah. Prostorski algoritmi optimizirajo HVAC in razsvetljavo s pomočjo 3D toplotnih zemljevidov gneče, kar zmanjša porabo energije za 30 odstotkov. Navigacija, ki temelji na gestah, zagotavlja nemotene prehode med makro in mikro pogledi ter dosega preboje v kognitivnosti vmesnika in operativni učinkovitosti.

Priznanje

O nagradi Srebrna nagrada A' Design Award

Holosentinel Pameten skupnostni sistem je prejemnik Srebrne nagrade A' Design Award, izjemno prestižnega priznanja, ki se podeljuje čudovitim, impresivnim vrhunskim oblikovanjem. Prejemniki Srebrne nagrade so izjemno briljantna in zelo ustvarjalna dela, ki ponazarjajo izjemno strokovnost, talent in bistrost svojih oblikovalcev. Od Holosentinel Pameten skupnostni sistem se pričakuje, da bo čudovito, zgledno delo, opazno profesionalno in globoko inovativno. To oblikovanje, nagrajeno s Srebrno nagrado A' Design Award, je zelo opazen, občudovan izum, ki koristi in premika meje umetnosti, znanosti, oblikovanja in tehnologije. Holosentinel Pameten skupnostni sistem je stvaritev, ki ji mnogi zavidajo, ki prebuja želje, prinaša pozitivna čustva in vzbuja začudenje in občudovanje.

V ozadju dizajna

Komplet za medije

Zasluge, člani ekipe in tehnične podrobnosti, ki jih je posredoval oblikovalec.

Edinstvene lastnosti: Featuring a hybrid 2D and 3D interface with aerospace-grade clarity, the system offers an intuitive spatial view. The 3D layer highlights structures and risks like stalking alerts, while 2D panels show real-time energy and device status via thermal coding. Users can tap floor plans for details or swipe to shift views. AI-driven models detect high-risk zones, enabling five-second security responses. Spatial optimization cuts energy use by 30 percent, enhancing both visual cognition and operational intelligence.
Dimenzije in embalaža: The System Is Compatible With Mainstream 16:9 Screen Ratios (e.g., 1920 x 1080, 3840 x 2160), Ensuring High-Clarity 3D Visualization Across Various Devices While Maintaining Spatial Accuracy.
Oznake: Digital Twin Community Safety, 3D Visualized Security Intelligence, Vulnerable Group Spatial Protection, Millimeter-Accurate Energy-Saving Modeling, Cross-Dimensional Cognitive Interface
Proizvodna tehnologija: Utilizing precise one-to-one 3D modeling with sensor positioning accuracy of less than 2 cm, the system integrates real-time IoT data, including surveillance feeds and access logs, into its digital twin. Light and shadow physics enhance realism, while aerospace-grade mission color coding improves clarity: blue for security alerts, orange for energy issues, and a dark background for hierarchy. This design enables 0.3-second critical data recognition, ensuring seamless spatial-to-operational response.
Oblikovalski izziv: Internally, the Challenge Was to Develop a Fully Functional 3D Engine, AI Models, and UX Design Within Just Three Months. A Modular Architecture Was Implemented to Decouple the Real-Time 3D Framework From Backend Algorithms, Enabling Parallel Workflows That Reduced Development Time by 40 Percent. Externally, the Biggest Obstacle Was IoT Fragmentation Across Seven Different Protocols. To Address This, a Lightweight Middleware Was Created to Standardize Proprietary Protocols Into a Unified Data Stream. Automated Compatibility Testing Further Ensured Interoperability Among Six Major Security Brands, Effectively Bridging Ecosystem Silos.
Raziskave: Type of Research: Applied Design Research.
Research Objectives: Validate digital twin technology for enhancing community safety and energy optimization.
Methodology: Mixed-methods integrating IoT sensor analytics with user behavior observation.
Data Collection/Tools: IoT sensor data and digital twin modeling for spatial data fusion.
Participants: 385 residents and 18 managers from a Beijing pilot community.
Results: Achieved 42% faster emergency responses and 27% reduced energy use.
Insights/Impacts: Predictive risk management redefines smart city governance, bolstering property tech, societal safety, and energy-efficient design.
Inspiracija: Leveraging Cutting-Edge Digital Twin Technology, This System Reconstructs Communities With Millimeter-Accurate 3D Modeling. Its Virtual Engine Analyzes Real-Time Data From Surveillance Cameras and Access Controls, Identifying Spatiotemporal Anomalies Such as Loitering Near Children's Areas for Proactive Crime Prediction. When Prolonged Inactivity Is Detected in Elderly Residents' Homes, the System Initiates Automated 3D Location Verification. By Transforming Fragmented Data Into Actionable Spatial Intelligence, It Evolves From a Passive Monitoring Tool Into a Proactive Guardian of Community Safety.
Trajanje projekta: Development Began in September 2022, Followed by Pilot Testing in a Residential Community in Beijing. The System Was Successfully Deployed in January 2023.
Potek delovanja: The System Supports Both Mouse and Tablet Touch Controls, Allowing Users to Navigate 3D Spatial Models, Access Operational Features, and Conduct Precise Searches Seamlessly.
Člani ekipe: Leader: Gao Chao
Technical Consultant: Bao Xiaopan
Designer: Zhang Shiqi
3D Modeler: Fan Shengming
Development Engineer: Wang Qi
Zasluge za slike: Image #1 : Creator Gao Chao, Holosentinel, 2024.
Image #2 : Creator Gao Chao, Holosentinel, 2024.
Image #3 : Creator Gao Chao, Holosentinel, 2024.
Image #4 : Creator Gao Chao, Holosentinel, 2024.
Image #5 : Creator Gao Chao, Holosentinel, 2024.
Video Credits: Produced by Gao Chao, 2024.